Modeling for chaotic time series based on linear and nonlinear framework: Application to wind speed forecasting

Ping Jiang(University of Electronic Science and Technology of China), Haiyan Lu, Biao Wang(Dongbei University of Finance and Economics), Hongmin Li(Dongbei University of Finance and Economics)
Energy
February 14, 2019
10.1016/j.energy.2019.02.080
Cited by 59

Related Papers

A combined forecasting model for time series: Application to short-term wind speed forecasting
|Applied Energy|2019|305
A combined forecasting system based on statistical method, artificial neural networks, and deep learning methods for short-term wind speed forecasting
|Energy|2020|234
The study and application of a novel hybrid forecasting model – A case study of wind speed forecasting in China
|Applied Energy|2015|167
A hybrid forecasting system based on fuzzy time series and multi-objective optimization for wind speed forecasting
|Applied Energy|2018|164
Ensemble forecasting system for short-term wind speed forecasting based on optimal sub-model selection and multi-objective version of mayfly optimization algorithm
|Expert Systems with Applications|2021|159